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  2. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    Instead of maintaining a dictionary, a feature vectorizer that uses the hashing trick can build a vector of a pre-defined length by applying a hash function h to the features (e.g., words), then using the hash values directly as feature indices and updating the resulting vector at those indices. Here, we assume that feature actually means ...

  3. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    A hash function that allows only certain table sizes or strings only up to a certain length, or cannot accept a seed (i.e. allow double hashing) is less useful than one that does. [citation needed] A hash function is applicable in a variety of situations. Particularly within cryptography, notable applications include: [8]

  4. List of hash functions - Wikipedia

    en.wikipedia.org/wiki/List_of_hash_functions

    Fowler–Noll–Vo hash function (FNV Hash) 32, 64, 128, 256, 512, or 1024 bits xor/product or product/XOR Jenkins hash function: 32 or 64 bits XOR/addition Bernstein's hash djb2 [2] 32 or 64 bits shift/add or mult/add or shift/add/xor or mult/xor PJW hash / Elf Hash: 32 or 64 bits add,shift,xor MurmurHash: 32, 64, or 128 bits product/rotation ...

  5. Universal hashing - Wikipedia

    en.wikipedia.org/wiki/Universal_hashing

    One can apply vector hashing to blocks. For instance, one applies vector hashing to each 16-word block of the string, and applies string hashing to the ⌈ / ⌉ results. Since the slower string hashing is applied on a substantially smaller vector, this will essentially be as fast as vector hashing.

  6. Linear probing - Wikipedia

    en.wikipedia.org/wiki/Linear_probing

    Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.

  7. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The most frequently used general-purpose implementation of an associative array is with a hash table: an array combined with a hash function that separates each key into a separate "bucket" of the array. The basic idea behind a hash table is that accessing an element of an array via its index is a simple, constant-time operation.

  8. Fowler–Noll–Vo hash function - Wikipedia

    en.wikipedia.org/wiki/Fowler–Noll–Vo_hash...

    Fowler–Noll–Vo (or FNV) is a non-cryptographic hash function created by Glenn Fowler, Landon Curt Noll, and Kiem-Phong Vo.. The basis of the FNV hash algorithm was taken from an idea sent as reviewer comments to the IEEE POSIX P1003.2 committee by Glenn Fowler and Phong Vo in 1991.

  9. BLAKE (hash function) - Wikipedia

    en.wikipedia.org/wiki/BLAKE_(hash_function)

    Algorithm BLAKE2b Input: M Message to be hashed cbMessageLen: Number, (0..2 128) Length of the message in bytes Key Optional 0..64 byte key cbKeyLen: Number, (0..64) Length of optional key in bytes cbHashLen: Number, (1..64) Desired hash length in bytes Output: Hash Hash of cbHashLen bytes Initialize State vector h with IV h 0..7 ← IV 0..7 ...